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miR-223 exerts translational control of proatherogenic genes in macrophages
(AHA Journals, 2022)
Background: A significant burden of atherosclerotic disease is driven by inflammation. Recently, microRNAs (miRNAs) have emerged as important factors driving and protecting from atherosclerosis. miR-223 regulates cholesterol ...
DriveWays: a method for identifying possibly overlapping driver pathways in cancer
(Nature Research, 2020)
The majority of the previous methods for identifying cancer driver modules output nonoverlapping modules. This assumption is biologically inaccurate as genes can participate in multiple molecular pathways. This is particularly ...
Quaking promotes monocyte differentiation into pro-atherogenic macrophages by controlling pre-mRNA splicing and gene expression
(Nature Communications, 2016)
A hallmark of inflammatory diseases is the excessive recruitment and influx of monocytes to sites of tissue damage and their ensuing differentiation into macrophages. Numerous stimuli are known to induce transcriptional ...
A network-centric framework for the evaluation of mutual exclusivity tests on cancer drivers
(Frontiers in Genetics, 2021)
One of the key concepts employed in cancer driver gene identification is that of mutual exclusivity (ME); a driver mutation is less likely to occur in case of an earlier mutation that has common functionality in the same ...
Inferring RBP-mediated regulation in lung squamous cell carcinoma
(Plos One, 2016)
RNA-binding proteins (RBPs) play key roles in post-transcriptional regulation of mRNAs. Dysregulations in RBP-mediated mechanisms have been found to be associated with many steps of cancer initiation and progression. Despite ...
PersonaDrive: a method for the identification and prioritization of personalized cancer drivers
(Bioinformatics, 2022)
Motivation:
A major challenge in cancer genomics is to distinguish the driver mutations that are causally linked to cancer from passenger mutations that do not contribute to cancer development. The majority of existing ...
Sparse data embedding and prediction by tropical matrix factorization
(BMC Bioinformatics, 2021)
Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose ...
Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics
(Cell Systems, 2020)
Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments ...
Chemogenomics and orthology‐based design of antibiotic combination therapies
(Molecular Systems Biology, 2016)
Combination antibiotic therapies are being increasingly used in
the clinic to enhance potency and counter drug resistance.
However, the large search space of candidate drugs and dosage
regimes makes the identification ...
Sex-biased expression of neuroimmune guidance cues in cardiovascular diseases
(15th International Symposium on Health Informatics and Bioinformatics, 2022)
Atherosclerotic vascular disease continues to be a leader of morbidity and mortality. Although sex hormones are known to play a role in this lipid- and inflammatory-driven disease, the underlying mechanisms are largely ...